Date of Completion
4-25-2014
Embargo Period
4-25-2014
Keywords
systematic direct observation generalizability theory time-sampling academic engagement
Major Advisor
Sandra Chafouleas
Associate Advisor
Amy Briesch
Associate Advisor
Lisa Sanetti
Field of Study
Educational Psychology
Degree
Doctor of Philosophy
Open Access
Open Access
Abstract
Data derived from systematic direct observation procedures are utilized frequently by researchers and practitioners, although the generalizability of these data when derived from distinct measurement decisions has rarely and only selectively been subjected to empirical research. This study utilized generalizability theory to examine the extent to which (a) time-sampling methodology, (b) number of simultaneous behavior targets, and (c) individual raters affect the amount of variance in ratings of academic engagement. Raters with similar levels of advanced training in observation techniques viewed and rated video clips of student behavior within a fully-crossed three-facet design. Results indicated that a majority of variance in ratings was attributable to the object of measurement, whereas very high generalizability and dependability coefficients were observed when ratings were averaged over two raters, regardless of the specific measurement procedure utilized.
Recommended Citation
Johnson, Austin H., "Reliability of Data Derived from Time Sampling Methods with Multiple Observation Targets" (2014). Doctoral Dissertations. 358.
https://digitalcommons.lib.uconn.edu/dissertations/358